SEMANTIC & GENIE ENGINEER (DATABRICKS)
Core
Design and implement data architecture, governance, and intelligent automation solutions within the Databricks ecosystem to create reliable, scalable data environments and multi-agent orchestration capabilities.
Role type
Senior Data Engineer (Databricks & GenAI)
Builds
Data platforms, semantic layers, intelligent agents, and automated workflows
Domain
Data Engineering & Generative AI
Deliverable
production ML models
Required skills
Python, SQL, Databricks (Unity Catalog, Delta Lake, Genie), Data Governance, Data Profiling, Git, Streamlit, Multi-agent orchestration, Machine Learning Pipelines
Responsibilities
Design and implement Unity Catalog strategies for data access and governance; Architect and maintain Delta Lake structures; Conduct data profiling and establish validation frameworks; Optimize complex SQL queries and database performance; Develop custom applications using Python and Streamlit; Engineer advanced multi-agent systems and Databricks Genie Agents; Configure and monitor Databricks Metric Views; Manage version control using Git; Integrate Machine Learning Pipelines into data workflows.
Seniority
Senior, hands-on IC
